Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst and Coordinator

Candidate Source
Blashford
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Scientist/Analyst - NESO

Junior Data Analyst

Onboarding and Migration Business Data Analyst

Senior Data Analyst

Construction Data Analyst

A professional membership and qualifications body are recruiting a Data Analyst and IT Systems Coordinator to effectively manage examination processes. KEY RESPONSIBILITIES: Data Management and Processing Process and manage data related to operational functions, ensuring accuracy. Maintain databases and spreadsheets, utilising advanced Excel skills for data analysis, reporting and visualisation. Ensure data integrity by conducting regular audits and implementing validation checks. Provide input to the development and enhancement of workflow IT systems. Assist in testing and implementing new software updates or system improvements. Troubleshoot minor technical issues related to data processing and liaise with IT professionals for larger system concerns. Package Processing and Logistics Coordinate the processing of physical and digital examination packages, including preparation, labelling, tracking and dispatch. Ensure all consignments are accurately recorded in the system and dispatched in line deadlines. Maintain a detailed log of package movements and generate reports for tracking purposes. Provide timely communication with internal and external stakeholders regarding package dispatch, data processing queries, or system updates. System Integration and Optimisation Assist in integrating new data systems into existing processes to improve workflow efficiency. Provide suggestions for optimising data handling, including automation where applicable. Work with all departments to understand data needs and develop system enhancements to meet those requirements. Maintain technical documentation for IT systems, data processing procedures and best practices. Develop and deliver training sessions or resources for team members on using data processing tools and IT systems effectively. Coordinate with Departments Act as a liaison between all departments to ensure alignment of systems and operations. Identify and fulfil data-related needs. Generate regular reports and insights based on processed data to support business decision-making. Use Excel and other data analysis tools to create dashboards and visualisations that communicate key metrics to senior management. Continuously look for ways to improve data processing workflows, reduce manual work and increase accuracy. Lead small projects aimed at streamlining data operations or improving IT system capabilities. KEY SKILLS & EXPERIENCE Batchelors degree in a relevant field Proficient in Microsoft Excel (formulas, pivot tables, dashboards). Familiarity with data analysis tools (Power BI, Tableau) and database management. Ability to troubleshoot minor IT issues and assist with system integration. Data management skills, ensuring accuracy and integrity through audits and validation. Capable of leading small projects related to data operations and IT systems enhancement. Detail-oriented, adaptable and able to handle multiple priorities effectively. Proactive, independent worker with strong organisational skills. Candidate Source Ltd is an advertising agency. Once you have submitted your application it will be passed to the third party Recruiter who is responsible for processing your application. This will include holding and sharing your personal data, our legal basis for this is legitimate interest subject to your declared interest in a job. Our privacy policy can be found on our website and we can be contacted to confirm who your application has been forwarded to

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.